This open access book provides practical guidance for non-profits and community sector organisations about how to get started with data analytics projects using their own organisations’ datasets and open public data. The book shares best practices on collaborative social data projects and methodology. For researchers, the work offers a playbook for partnering with community organisations in data projects for public good and gives worked examples of projects of various sizes and complexity.
Author(s): Jane Farmer, Anthony McCosker, Kath Albury, Amir Aryani
Publisher: Palgrave Pivot
Year: 2022
Language: English
Pages: 139
City: Singapore
Acknowledgements
Contents
About the Authors
List of Figures
List of Tables
1: Introduction
The Non-Profit Sector and Data
Making Good Use of Data
Starting to Think About Data Capability
Navigating Data Harms by Involving Citizens
Key Takeaways from This Chapter
References
2: Case Studies of Data Projects
Case Study 1: Outcomes of Family Violence Policy—A Public Sector Collaboration
Project Goal
Project Description
Collaborating Partners
How the Project Began
Summary of Datasets Used
Methods
Findings
Outcomes and Lessons Learned
Case Study 2: Re-using Operational Data with Three Non-Profits
Project Goal
Project Description
Collaborating Partners
How the Project Began
Summary of Datasets Used
Methods
Data Analysis
Findings
From the Before and After Interviews
Outcomes and Lessons Learned
Case Study 3: City of Greater Bendigo Data Collaborative
Project Goal
Project Description
Collaborating Partners
How the Project Began
Summary of Datasets Used
Methods
Data Analysis
Findings
From the Before and After Interviews
Outcomes and Lessons Learned
Summary
Key Takeaways from This Chapter
References
3: Data Capability Through Collaborative Data Action
Understanding Data Capability
A Collaborative Data Action Methodology
Finding Your Data Collaborators
Responsible Data Governance
Data Ethics and Consent
Data Sharing for Collective Gain
Key Takeaways from This Chapter
References
4: Activating for a Data-Capable Future
Sectoral Benefits of Non-profits with Data Capability
Data Capability and Organisational Competence
Data Capability and Field-Building
Data Capability and Social Justice Activism
Three Stages of Non-profits’ Data Capability
Data Analytics as Business as Usual
Getting Started
Moving Beyond a Data Project: Next Steps
Innovations to Solve Data Challenges
Research Reflections and Next Steps
Our Research Reflections
What Next in Research?
Key Takeaways from This Chapter and Conclusions
References
Appendix: The Data Innovation Ecosystem and Its Resources
Initiatives
Think Tanks and Policy Institutes
Data Science Volunteering
University Social Data Analytics Labs
Demonstrator Projects
Socially Oriented Data Consultancies and Businesses
Initiatives with Government Funding
Useful Resources for Non-Profits Developing Data Projects
Glossary
Index
